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Software Engineer, AI Infrastructure
NVIDIA · Tel Aviv, Tel Aviv · Posted 3 days ago
"Build the open-source Kubernetes-native scheduling and orchestration layer that runs GPU workloads at data-center scale, shipping upstream with projects like KAI-Scheduler and Run:ai."
AI factories are only as good as the software that runs them. NVIDIA’s DSX OS turns GPU infrastructure into a shared, multi-tenant platform for AI teams, providing scheduling, orchestration, serving, and observability for AI workloads at data-center scale—from training and inference to reinforcement learning and agentic AI.The DSX OS Platform Software group builds that layer through projects such as KAI-Scheduler, Snapshot, Grove, and Run:ai. Our work ships as open source and upstream contributions across the cloud-native and AI serving ecosystems. We focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run. We are looking for highly skilled software engineers to help shape the future of AI infrastructure. As a Software Engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across NVIDIA and the broader community to support the next generation of AI workloads.
What you’ll be doing:
- Designing and developing open source platform components with a strong focus on performance, reliability, and scalability.
- Building and optimizing Kubernetes-native systems: controllers, operators, schedulers, and APIs that orchestrate GPU workloads at scale.
- Contributing upstream — designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on.
- Collaborating closely with architects, product managers, and partner teams across NVIDIA to deliver impactful solutions.
- Writing clean, maintainable, and testable code in Go.
- Conducting code and design reviews to uphold high-quality standards.
What we need to see:
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This posting is sourced from NVIDIA's own career site — applying takes you there directly.
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